{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ffn\n",
    "#%pylab inline"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "Data Retrieval\n",
    "--------------\n",
    "\n",
    "The main method for data retrieval is the :func:`get <ffn.get>` function. The get function uses a data provider to download data from an external service and packs that data into a pandas DataFrame for further manipulation. \n",
    "\n",
    ".. note::\n",
    "   You should note that upon import `ffn` modifies the `pandas.core.base.PandasObject` \n",
    "   to provide added functionality to pandas objects, including DataFrame's."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              agg    hyg     spy    eem    efa\n",
      "Date                                          \n",
      "2010-01-04  90.45  64.87  103.44  39.32  49.08\n",
      "2010-01-05  90.86  65.18  103.71  39.61  49.13\n",
      "2010-01-06  90.81  65.35  103.79  39.69  49.33\n",
      "2010-01-07  90.70  65.61  104.23  39.46  49.14\n",
      "2010-01-08  90.75  65.72  104.57  39.77  49.53\n",
      "\n",
      "[5 rows x 5 columns]\n"
     ]
    }
   ],
   "source": [
    "data = ffn.get('agg,hyg,spy,eem,efa', start='2010-01-01', end='2014-01-01')\n",
    "print data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, the data is downloaded from Yahoo! Finance and the Adjusted Close is used as the security's price. Other data sources are also available and you may select other fields as well. Fields are specified by using the following format: {ticker}:{field}. So, if we want to get the Open, High, Low, Close for aapl, we would do the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            aaplopen  aaplhigh  aapllow  aaplclose\n",
      "Date                                              \n",
      "2010-01-04    213.43    214.50   212.38     214.01\n",
      "2010-01-05    214.60    215.59   213.25     214.38\n",
      "2010-01-06    214.38    215.23   210.75     210.97\n",
      "2010-01-07    211.75    212.00   209.05     210.58\n",
      "2010-01-08    210.30    212.00   209.06     211.98\n",
      "\n",
      "[5 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "print ffn.get('aapl:Open,aapl:High,aapl:Low,aapl:Close', start='2010-01-01', end='2014-01-01').head()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "The default data provider is :func:`ffn.data.web`. This is basically just a thin wrapper around pandas' pandas.io.data provider. Please refer to the appropriate docs for more info (data sources, etc.). The :func:`ffn.data.csv` provider is also available when we want to load data from a local file. In this case, we can tell :func:`ffn.data.get` to use the csv provider. In this case, we also want to merge this new data with the existing data we downloaded earlier. Therefore, we will provide the **data** object as the *existing* argument, and the new data will be merged into the existing DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              agg    hyg     spy    eem    efa    dbc\n",
      "Date                                                 \n",
      "2010-01-04  90.45  64.87  103.44  39.32  49.08  25.24\n",
      "2010-01-05  90.86  65.18  103.71  39.61  49.13  25.27\n",
      "2010-01-06  90.81  65.35  103.79  39.69  49.33  25.72\n",
      "2010-01-07  90.70  65.61  104.23  39.46  49.14  25.40\n",
      "2010-01-08  90.75  65.72  104.57  39.77  49.53  25.38\n",
      "\n",
      "[5 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "data = ffn.get('dbc', provider=ffn.data.csv, path='test_data.csv', existing=data)\n",
    "print data.head()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "As we can see above, the dbc column was added to the DataFrame. Internally, get is using the function ffn.merge, which is useful when you want to merge TimeSeries and DataFrames together. We plan on adding many more data sources over time. If you know your way with Python and would like to contribute a data provider, please feel free to submit a pull request - contributions are always welcome!\n",
    "\n",
    "Data Manipulation\n",
    "-----------------\n",
    "\n",
    "Now that we have some data, let's start manipulating it. In quantitative finance, we are often interested in the returns of a given time series. Let's calculate the returns by simply calling the :func:`to_returns <ffn.core.to_returns>` or :func:`to_log_returns <ffn.core.to_log_returns>` extension methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 agg       hyg       spy       eem       efa       dbc\n",
      "Date                                                                  \n",
      "2010-01-05  0.004523  0.004767  0.002607  0.007348  0.001018  0.001188\n",
      "2010-01-06 -0.000550  0.002605  0.000771  0.002018  0.004063  0.017651\n",
      "2010-01-07 -0.001212  0.003971  0.004230 -0.005812 -0.003859 -0.012520\n",
      "2010-01-08  0.000551  0.001675  0.003257  0.007825  0.007905 -0.000788\n",
      "2010-01-11 -0.000772 -0.000913  0.001433 -0.002014  0.008244 -0.003157\n",
      "\n",
      "[5 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "returns = data.to_log_returns().dropna()\n",
    "print returns.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the different distributions to see how they look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IYOzHkch+MF+JpGcvfSbzemA8FsxERERERJ0wuh9mcl6mtIG6ra3D6pJco9f3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\nZhfirrmS+UuUyLUwJr2PRqOBTqfD3LlzsX//fgCWU8CSHJ4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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0484659110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = returns.hist(figsize=(12, 5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also use the numerous functions packed into numpy, pandas and the like to further analyze the returns. For example, we can use the corr function to get the pairwise correlations between assets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>agg</th>\n",
       "      <th>hyg</th>\n",
       "      <th>spy</th>\n",
       "      <th>eem</th>\n",
       "      <th>efa</th>\n",
       "      <th>dbc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>agg</th>\n",
       "      <td>  1.00</td>\n",
       "      <td> -0.11</td>\n",
       "      <td> -0.33</td>\n",
       "      <td> -0.23</td>\n",
       "      <td> -0.29</td>\n",
       "      <td> -0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hyg</th>\n",
       "      <td> -0.11</td>\n",
       "      <td>  1.00</td>\n",
       "      <td>  0.77</td>\n",
       "      <td>  0.75</td>\n",
       "      <td>  0.76</td>\n",
       "      <td>  0.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spy</th>\n",
       "      <td> -0.33</td>\n",
       "      <td>  0.77</td>\n",
       "      <td>  1.00</td>\n",
       "      <td>  0.88</td>\n",
       "      <td>  0.92</td>\n",
       "      <td>  0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eem</th>\n",
       "      <td> -0.23</td>\n",
       "      <td>  0.75</td>\n",
       "      <td>  0.88</td>\n",
       "      <td>  1.00</td>\n",
       "      <td>  0.90</td>\n",
       "      <td>  0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>efa</th>\n",
       "      <td> -0.29</td>\n",
       "      <td>  0.76</td>\n",
       "      <td>  0.92</td>\n",
       "      <td>  0.90</td>\n",
       "      <td>  1.00</td>\n",
       "      <td>  0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbc</th>\n",
       "      <td> -0.18</td>\n",
       "      <td>  0.49</td>\n",
       "      <td>  0.59</td>\n",
       "      <td>  0.62</td>\n",
       "      <td>  0.61</td>\n",
       "      <td>  1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       agg    hyg    spy    eem    efa    dbc\n",
       "agg   1.00  -0.11  -0.33  -0.23  -0.29  -0.18\n",
       "hyg  -0.11   1.00   0.77   0.75   0.76   0.49\n",
       "spy  -0.33   0.77   1.00   0.88   0.92   0.59\n",
       "eem  -0.23   0.75   0.88   1.00   0.90   0.62\n",
       "efa  -0.29   0.76   0.92   0.90   1.00   0.61\n",
       "dbc  -0.18   0.49   0.59   0.62   0.61   1.00\n",
       "\n",
       "[6 rows x 6 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns.corr().as_format('.2f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we used the convenience method as_format to have a prettier output. We could also plot a heatmap to better visualize the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nBg4cyKuvvmrpj77hhhu4ePEiqanmD9eWLVvsOoaiL8KYm4IxNwWlvBTZ1QMA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\n0klLJBJJC0Y6aYlEImnB/H+DyXl/RLHNQgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f04844b7b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "returns.plot_corr_heatmap()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "We used the :func:`ffn.core.plot_corr_heatmap`, which is a convenience method that simply calls ffn's :func:`ffn.core.plot_heatmap` with sane arguments.\n",
    "\n",
    "Let's start looking at how all these securities performed over the period. To achieve this, we will plot rebased time series so that we can see how they each performed relative to eachother."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kFYB6h5ekOBsxkVY2nHgALrN/DHX1HhL62Lr0G9oQi6Ri3UVqgoUQQghxXiqt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lglWdjcOVug7EPitfTTEL9LnC+1GnznCimNrYtjfiuheBDsvDju1MMiyfDVNqtJ0mQ1vfxzMLPk\nGzyuk56OvEmScJMY1w0f17F3C7eQsZ8LyUZ+F3TfLPzOs5vAHD2uzfWObmS74w/09wkf2rQ+jE+r\nQpE0rp75QyqcMyB2B7S/DXo+WtpHbNIL/EhwzsVp51hV+WFyRoyUPoBXe3XxvycjLmv6Fg2+1ewe\nu2fawsUpvP44RYJP4aSEGcujOnJIKy5FvuBm7Ed/Kabt80evBhfao+T2DJN8soPh9d1oqsxFpzfw\nnoXVvOuyuQAUexKM/XY7hYMxjGgGOXYAu3MX0uLzkBacheQLEXrHcrwrdOi6STS4dFxGYNFP0Tvu\nQw30Unbmj7CsxgnvYn04zf7Wh3lx8CckCj0ApPQBGv1nUjDT5Iw4pqWzffQOZATJKbjTZLb0AmAX\nD/9cZiI/0RT4cvSnt3B/x9/yaNc/ktXHsG1BTItmZiKm8+Wo9Z5GpWchkiQxO3QZ/kANZe9azGD5\nbtoCj1LsS1LsjCOVO+jPbKMpcBZFKzWxvuxWhY7YEPuSIrXYtk2hK1463gJSwEFWH8WrVVDpFtXH\nnBFFjXhxL6mi/EPLkb0aI4H9vDj0U57p+w+e7PkqsUKK3x3cLCzibJkaPURATuALX0Vw8ODkh0iM\nCtlKdBB7tBf6D3BHXw13PbYPSXMi3/wl5Ks/jt22GbtjO7GK+fzijzvIFw2wvNjpLuxUFGvz4eEE\ndi6F9cBPyZY0eZmc8Kke1+5ipkQqYPpJLj9nJnKyNMWvjPsOG9D/aRr0z4AkEa9bjt0jBkB2/wEM\nVNRpSPCshhDvvXoBZy+vwzAsHNpruC3bJiQfgPqfCAlC+ikxzf5mI3gjhD8E8d+J8JOhr4L/bWKZ\nJAn9qzH4ph7iccE2hQ2acw6M/Qjye0VU94mA7Jj0bdbqYPaWI7/XNQ9it4njOR50vxs6rxXXhxKC\n7vcK3Xbtd4WmOf8Kg8WXISZ3YmpFnkn/B/uGHiJdGMJdFL8Ln1YB3TdhZzcJNxLnHBj+FgSvFc4Y\nR4OkIWnVtHjnTyS/vdwq7a0Mh+KjMXAmyWIvviM4XZzC64tTJPgU3nDkWkeIP9SGEcthJqef5jfj\neWQ7gRSIIM1eDkYR2SFhF45OgvWBFO6FlQQubCaze5j5zWUkHtmP/VQnEafQoGY29SLJRZKP7CL1\n+EFUVxH5us8gLz1/wodX8TuRRz8DGND0B6j5Bo7ARkLL/0DwQvHAsY0IlmZieIoMPLqRruLzyKZG\ne+IJdo3exUBmG35HDeXuOYzm9tGdWo9Pq8apimqRVy6n37udrDeOVTj8IWbG86ihw6fPc0aMZ/q+\nScQ1G49azrr+b/P7tnehWzmKVvqYGitmBM4mZ4hmt8HMNnLEMMey5PePkZo7RsjZQMBRR0fiKfrT\nWwGQfU6M0Sz64GTFzhzLEbtzF7Zlow+nMcsNHIoPRdKo9Z3GObV/T1ofxL2sGs/yWiRFJnTNfMxy\nnZmB8ybsgW7fvw4TkJ0qigVWXBBtuxDBbt2IdPYNSGddD2P90LMP69f/jPX8vWQXX0oiXcQwSh3o\nvhBSRb3QAW97ki6tgWxeZ+veYZA82AdewLr9a9jP3Y2tF6aelN792ECMLFfOv2vi5dlNJb2vlQLf\npSIlsNgFuU1Ct+gUgysq/n5incZqHz2uJigReKP3ADYSyjQR4LIsUVnmYWFLhPKwG7frCMQgt1NU\n7EDs39YPf0/xoGimci0A/8Uw8h9iWvnNhiRD8DoIvhMafiEqxKGbJper1aAPvHnHd7zIPC+qvvU/\nh+SfQO8UTWuvB45mk1X1ZeExPPaj6ZcnHxTNh4fCtoVrBUD1v4rro/wzojlRkiBwBYx+77gOMejc\nwrnuGpbGbmRL/FcY5Mk+2Is+lEYf3IkZzzFy/7tJrveI2PMZf4SKzx3bxrUGKHaXGuROLjnDiUCN\ndxmypE3YWZ7CG4tTJPgU3nAYg2mKXXGiv99J9K7d078nlkXJ9tEvl5PL61A1A0kyXrESbKSL7OlL\n8sJQEke6yLyMiTGcQQm7sTLF0v5jeBMPUjajjfDSON53XIYkv+ynYOXAykLLBvFgKFXTJO8MNEnE\nHtumRad7Pesu/gnrT/8FjZVnsWj3VXQlnyNjCFP7wn3DBGM1jOb2ES90UeVZSM6IIZsqSyrfzd7l\nj7HxotvI5kdJrD1AoSM6cQhmPDdh0QbC5qct9vCE4XvI2Ui5ezbRvGhaG8m1ikrwMZBgt1pG1ohi\nWjrDuVZ0K4NU5UQNuxnIb6HOtwpF0sgZUV4Y/AGxfBcZ9xhlNy/Bs1w0PNm6OfF99PQNkt02gD1X\nnSLHCDjrSRT72W2M8snW+/nOjsf5s97O0yO76M2YzAh+Agk3Xel+bph5GrJDxSVL6AnxfVi/+1/s\ntk1Ic1chzVyMPdyF3V26Ztq3sc/ZQlNtgKI+dRAhnXk9VDQwYvlYsbCabXuHsXBBvAf5mk+IJsT4\n1Glku38//WoNhhpjTnAtbjXJzVfOx+UokVJjTOhcPWcI71utUcRNO1tEtS54LTT+HmQvTdUqvUUv\ndmIE27YwBrpE2tzw14Xusm3ZYdPYmqrw/msW4nQcgQSnHxeVO9sWVbyxnxz+ntQj4ColjJV/VvhU\ne6ZxL3kz4GiCqn+eXprxVqsE57aA9xxRRa39HtT+AKQjB9m8bpA9UPYRyG2ffvnQ14X7xqEoHhRN\ni3U/FFVZEHKVcXeOwNViQGKmeDmKRoyBTGlfVg4KHRTi97JA7aVWkZi//HoceS+BjBd9YBRj5+cw\nWn+AJa2k7OYl5PeNYkRzE9szEnmMWO6w/UyBoxH0Li6s/zJXzXyLO4hMA012szhyIxHXKTnEm4FT\nJPgU3nCYWR3f2U1E3rcMu0SibN1k5GcbyW1qxWzfS7EzSrHMyT0bo/zynl20BpYh60mM0Sy2bpK4\n/Qliv3/xsEpyfCRDBhtnIYYkxSis7yZ49VzUsAtjOIG57RnMjIl21ftRLv8IzkuuQg6EhT6t//Oi\nYxlEpU2rFyQHQCs1LFR9Faw4plFHMXslRTvNQu06bpxzO4sqbyDSO4PrW27ljOqP846W32B1Z/H1\nljOa20daH8TnqObi+q+zct3N1FQsZw6XoZouoi/uJbd9cKLKWuiOgyRNsUXrTK6jI/EUiqQxM3AB\nK6s+RpmrBUVysjByAyPZvRStDA7Z94rfgVsNI0sqD3f+P8pdc3BrEcwGC7Xcw1j+ABXuufSki5i2\niiQFeKTr8zzU+Vl+O3YfO2YZWF6Vu/ZsYnPXAQD2Pr6DkXyaNkc/nkNIsGkHSBdHuffgZi6qncui\ncC0F08CnmgzlDH7ZtoWE7mJpWTlezYHsUHBJEoZWjfncPDCFdGTnEBT81ZBNYnfsgAZhaj+Sk5nd\nFCab1zGtSb245PGjvO+rZIo29VU+5jeXMWRGkM+5Gqm2BcLV2KN9U86J3befEbWcJu8YkmRxwdxN\nhFwl3XXyAUjeKxqQPGtE9U87pDlnvFrnmgdygPoKi564jZ1NwtgAeVcZDaEDwut15H/Ee49nytm2\nxLp6n6hAv3x9MyFIdfwPUPEZ8ZoSEEllbwWoNWCcJJVg24bEfeJcTwcrIwYj47ZnnlXgO+eNO76X\nQ6sTzY+HwhgVn4OSG4J1yH0yuxE8q8F79vTbkxQxsMu+IP7OPCeuP9vG0XEBvb2fFy4LI9+Brrej\njHyHbdE1SPndSNIQ5x08gyt926i+6nO4GnbhrtuMXHk9asiFa245ud3CpUUfFE22ySc6XuHzNUJu\nJx4tMpEK95eGBZHrpjoFncIbhlPuEKfwhsHMFMG2sTJFFK+G7BRuAADZp7diJnUKz23EcNk4DOir\nO41mQsxuCvHAMx1cao5Q8dxB8vvHKPZruNWdjN1uUfl3qyf2YaWyVOYOMG9oMwUqyEirUBP7sfsP\nkuioQHHoSA43csMhPqlWFro/AGYcOq8W8ge9a0pkLJJS0uaJ6bikVYelmxSlLCEtgCwp2KoNto2t\nm0iagtUtKhyBaBWxQhcuI8DCyDsJmnVYegxJllgx9yOMbttHUU9TuXoJVlZMcRfaxnAvqUYqTZ8P\nZLbx4tBPWVbxPuaXXYNd8h6u8izkxjm/ZTCzk52jf0A/xkqwLKlcNfN/GM7uIeyayYaBH1CcWyRI\nFbFoD7e1ddCXzZExrmZxaICIQxCCkLaHp/sVclVJ6gunY2byJEMSS1IB0qvCvDC8gfNrwmSNIo/1\n7uXhnt2cWxHikwsXU+6e1Kau71/Pmb7l1HrX8Fz/LuaFRZe4VhegoStKzFeHZ6AfAPtD3+TpB3vw\nuppp/rv/QZIkrL0vYPe0MhbPs2xeJU6HQrFokkjneGZTD++6XJDkTE7H53YwZ0YZ+W4nUkh0oEtz\nT8d+8UGYL64dWy9gjA6ws+EWLmt4FhwzmRf4HQzcK7r/E/dOXiuOmcID1nGEDnUliM+Zw+1UGUpp\n1PTvZ1dgOdfO/qJY3vC/MPhFEafrO+8VvyugFMObEZXe/G4hK8htnlzefh5ILghcKZql3mrQqiGz\n4c0+CgFzTGiWQ++BypLEpdgJg18W7hYDXwDPCnCfJBV2tRrMKAx9Q5BzNSKurfpbmSDB7edDzX+K\nWYzsRvBfdrQtQtnHRAV59HtiMOBZI7yMgWaS7B/7Iy2ptWy2K7HN2QSy54C3Aga+QGT+bsxCGCVQ\ngVT7XWw9iupZDIBnRR1jv92G9/R6xn6zrXT8MuYhse0Axb4kaoVX2EK6Fov49NEfQuQTU5oEDw3i\nOCIGvgCBa8F75nGd1umgD6bQR7N4Fp2SLhwrMi/2otX4hR/8SYhTJPgUXnfYlk1+zzCZl/ox43ns\noolvdQ2oMpgWVvtuMtvH8MyvwMitoDiaJfSOBrIpG1/epK5K2P88E27kw/GHSfWtAZz41tSQW6dP\nEELb0JELBr5lS5AXXILbX4arfRvWI/+LUpiHpoHjtNMo9iWnHmCxQ1R8QzfByH+KqcBi1xT7HmCK\nNi+m7aVot1Ikg8tVIlaShOzWRNKcppBvHcF/3gxSz3dT4ZpHwFWHP19F9I87p9zw1aITw1FALfeQ\n3ye6sgtdcYJXzqEr+TyN/jNJF0X1ZLwz+uU3/XL3bEbz+5BRJhpIjgSr9OAYymV4pDdNT3ods/0e\n2pPPMJBro8kT4Kqm5XhUB9WeAJad5Z4DoipU46kl7OxlwLuRC/60ALXCi2tBBM/KWqodCuWtNltH\n47w0tgGv5qTJV0a5ewZpvX8KCS6YKZyKH4ei4lL8FEsaReeMEPWDKfbKM6hjU+k4VQzT4oUd/TSX\nbqTSvDOwZywmevc+IiE3TodKvmjSP5Kmb3hSs5zJ6ng9Grm8QUJ3ChILSE0LRPzzOAY6iEbmYdoS\nVWED5Eth7KfiujDGoLAP6n4kHsilbUzIDl4OJQhmnPmzGtkz2kRNTxuD8lIMKYJa+QlRZQu/X+hK\njxW57cJ9IH67GKRhQ/tFQhfcX4qVtvMQevexb/Nkglp98lSC9dJs0Pggw4xD36dEpT2zTkR31373\n5PHmlRQxMEvcCTPuF9fn0NdLcpsSCXY0CmJvluRW1V85+jZ954L3QRj7hQjmyG7ACH2QJ5nH2d5a\nZkS/TcyWaKcSmShX1J4JkfMg9RhUfAtZK93fAUmrm9isGnLhaomQeGS/OKymEErASW7PML4zGgDh\n2BO9YwfOWWWoEQ8oAfyrHxMpebY5OdMB5HYOkdsxSPidi5CdqpBoHJoGZxVEBLUSPiEkOLd3lGJP\n/BQJPg6knunE2VJ2igSfwl8vjLEsiYfFTa/sbW6ia3Nw51ewz7oU7DDRew6glJXhWj6b6O3bxQ9m\nRg3tz+ziQHaI2VaAv71pKb+4cwdc+l6s+7qQFQN51SWwbj351mHc86sgOoBqy/jmzkYqE5IAad4Z\n2JFaAtkk1DQjOdxTDdNTT8LA58Bz1mTsqzEkbpyVglyYtk5r9M/MDV+BYRVwAVlU9KEo5kwdl2cy\nKEF2qcTv34vvnBnog2k8p9Wg7nFxtvYZlKCb6O07MGM5tOpJyYJacKBreWSPhh5kvj0AACAASURB\nVJXVMVMFrJyOVQ7r279HlWcRaX2YmYHzqfdNH3igykI7bDG9hZxt29zVsYXW+BB9WeHmoMkKVzQs\nYmG4lu5UjnJ1E0siCzGsxcwNHXqT93PdrF9wX/vHUCQNiQQAwSvmUExnaK9+jqXOmwGYHfCQNas5\nvXLlRFLaztEUycLU6dqcEcVVclVwKD52j91D0FGPWwnikCRysmfivX1jBWorvPSPZEhligR8TiRJ\nIl6Q8Xo0HJqCy6GQLxgT9mKFoomqSBSKJm6nimXZ5A3HJIF1esAoYhs6kqphPXsXsco1VDo8SGZC\nSB3qfwEj3xPVNe/Z4D2r9CWXvjv3ymnPNbKIfa6uWECPFsHqeIho+TIUOzURDjAxhX2sQQe5bcJN\nIXKL0IGCID/dHxAVupkPimr1kaKJjwOFzjjZ7QOEr53/mrd1zNBqRVzwyYBiD/guETIAMymInWsB\nWE1CC6w1vDn636Oh7sdC8jA+O+E+rXR9iT4I/FcJ2cbgV0DxCVL4SpA0KP84GP2g9zPsOQ+1kMRT\n/2XIbCAM1I49g34wgXdNLWgKlL3/FVvX/BfMZOy2rWg1fspuXESxL0n0jh3og2ncCyspdsVxtpRh\nF4UlZm7HML6zGpEafg4Hr4XQu8TMAaD3JbFyBvH79lJ2aSsM/zs03TOZiFhoFf8WOyG7BZyzJr2X\nXwX0/iTGcAaraB5TeNFfAmzLxkoVJpJbjxWFzthEwqj8ekTBnyCcIsGvEjv2jTC7KXzkTu6/chRN\ng1gxS5U7QDE1qUfreeF27IifingOsikgjEGExJVNJMwUHqC/WWH3YDtto8NkPDm+v+spVlY04fM6\nSLtD2PQjqwUkRQVkEg/sxzWvErNrL4rtxfcyT12pomHq34eSjvRj4l/ZOXnjTNwv/nWfjmkVea7/\nO/RntlLmmsVwdjf77FmEmE1QyWAGTBzKJKGVPRrF7gSxP+4Gy0Yt96JV+9EH02KKr9yDMZbF1ifJ\nqq+xFq3Bj+J1YGV08RBoDJEtNU4li/2kin3MCJ43EYM8Heq8K1DkqTebg8lRdsX66U7HSBRzvG/2\n6Xg0BwOZBPW+MOUucezLIuXc334fRbODqtLU5aFwqyHW1HyavvTmiZhP98JK9GIfew7ex0Lr7aiy\nC8NKsDRy/gQBBgg66+lKruOl4V+xvOIDgERGH56wBGr0n8X++KNsGbmNs9XPIgN5qfQ5Zq+gdyjF\nioXV5Lb0YpiTA5jReI6K0nftdCgUiuZEg1w8lcfpUPF6NGRZwqHJ5HUn2NnJa8Dtg1wK2+2HkR7i\nCz9MGZKoSCpnCWJmRiH9hEjyGse4/+2R4L8YRv6LsDPNyoVPknN+AP/BmPB8HSdPWh3kd8Lgv0DN\nMQRF5LdD2Qen+tCG3gW5XSJxTXZA+SdfeTvHgEL7GIW2MfSRDFrF5PdojGVRytyvT+CAWik8jQtt\nk81abxb0TkGWrKQgvYV2MQOQ3yNCLF5JSvBmQC1/2d8RiN4qjtV/iWjikzSYcefxb7tK+IEnYg/g\nN6pIPHqA4KVrkIG6jiRykeMihLJTJXTt/IkGOUddgMgHT2Ps11vR+1OoEQ/BS1smSFe+dRQrWUAJ\nhkpyjvUQfDu2bVPsTxC6zMLu/RoMtwm3lv5PCacW79nievKcIQocI98SA9SGnx//OQBsw8IYyaBG\nPOiDKZyNoVde6S8Ahf1jxP/UStXnzzrm376tm8Tu3YuzWQy2xmV9ZrqAlTOm3FfebJxqjDtG9A+n\nyZXsuZLpAk+92M1vH9jDWPwVOlvfotifGObug1sZzae5++BWvrn1EXKGqCqk9eltzWKFLPd1bqct\nPsT/7lvP9zbcy7Y7/o0nXngMWxLrNn7sW3Rd+m6+etZVPDhLkK3BoMGfhlq5tftFAO4rHGD7WC91\nzjJuWXwW/9+SC3lu8AC2w2Rrp6hC5hwubn9gz8S+jdu/ReGldRiS6LJ/ReR3lQzjSx60VlbcNOt+\nCoU9YlpZktg0dCuK5GBu+EoGMls5kHicK2b+mBrnMqwqm7yUEFGfJUilOObIe5dSdvMSJFVGq/ah\nD6Ywojm0+gBafQDHzMlKjNMXIqoeKFWCixQ6YkhNTgYzOwE4EF/LcG4vle4FR/1I59b/I2fVCtsh\n27b52d51/NeOxzFtm6WROj696AJmBsqpcgdYVt4wQYBBVGPdWhk9qY3UeKf3O3UqfopmGsOetBYr\nGEnAJl7oBkSF1/OysI6go56R3D7aYg8RzbdTMJPIkoamiIpmpWc+N7T8mli+k4KcRLFtclZpcHnB\ne+kfzlBf5UNVZAxjcvAwGstNePi6HCqFokmhpDHP5Q2S6QIBnyDTmqpQMDRsMzt5YJ6AGIhl4uAL\nEUsWmOl/RshhPGeIuF9jQJDV8SrwscB/CfguIZj5JjPDGxmrWEhDJI7kOGQwNh6Hm3oArOL02zFT\nIqzFGBNT8o7mqcvLPy0e6PKJq7JYOZ3s1gHkgJNCe3TKstFfbqHYGT9h+5oCSROWWb2fEM19byby\n+4TtnXsFZDeLaqKjGSo+K5aP24udzFArxCxDxefAd+Frq1xLEoZdoC+9Ccd+J7kdomJv2zahLZXU\nNh+/Nlqr8uGePxl6MU6KnC1llN24aErVcbxwAIgBZvJhAAr7R/G13IVqfB01UJLSVH5RNFn2fxb2\nr4TRH4D/cmi4FRr+Dwq7RXX/OGHE86Se7UQpc+NoCqH3Tm7Dtm0K3fFXDHJ6y0IpEdjosXGd1PNd\njPxyC1q5h/C18wleMQcrb2DbNmO3bWPs11tfz6M9bpwqYx4DUpkiv3+4lQvPaGROU5hnX+plVmMI\nt1Nlf1eMbN6gofoExFa+iUgV8+yODRAtZACJx/tayRgFNgx14FGdNPsj/Of2tTgVlYOpMd7ZvJyL\n6+bxRF8r80PVeDUnv9q3gbbEEA/37GZ15Uy+asvkM36a0zFsp47/PZchKxoX1c2jL5OgOx1lFQpN\nkQr+fulCRnJpfuPdyCfnXYhfdXHrnh2E/W7K3C5umX8Ot27fQMQURDCmyzS1eGGveFCP1Z3BcFU9\nvkePIT3JjEPv34lGIjNWerFUYfScIZovAldi2Qa96Y1cNfP7jOb2sa7/28wInIPPUYU7VM4+/SEi\nzjl41MmuXtkjHjZa1STB1Gr8ZLcMIHs1XLMjRN49VUta5V7IztHfk64YxS6YZDuj9K3Yy4HRR6j2\nLMGthlhQdt3UWNGXwbZtDqbGuPvgVgKai6Sepysd5fNLLmZmoPyI6x2KiGs2EtIRE5kcip9EoYfC\nIQEahZKNUrzQRcTVQkYfwaNN3Z/PUU2h9OB5rPuLnF//pcP24VC81PtOp7v4ApX2bPKmuPEOZ2z8\nXg23S0NVZXRTkNxHnztIW1eMS8+aAYhKcL5oTJDggm6i6xbBUhqbLEuYtgvLjKFnR3H1Xgzu90E2\nCXoe/GVEE3nKGx6Gyi9MjaF1zpmUIBwryj+FnX4SyehnJJajKhA73E1izjaRntX3Caj60tRGzPSz\nojFJDkHkb4X++Gh+sa8RtmWL5MJsEWzwn9NEdtsgvtVTZ1GONb77VSF8swicGPgHUeV+M6D3iUGP\n81/EtHnPh0BrEvKCca3pm5G+d7zwngf19a+5SdK2bQ4k1rI/9gghq4GKnTPE64aFEc1iF4yJat9r\nhf+iZpzNh6ddKkEnZkIMvIuxZWj5ryCZKVy8DWqAhsdJPj6Kq64Vp+yalHpE/g4CV4FacvaRnSUX\nksHjTvZLProfJeAkePkcsGxid+/GOTuCMZol80IPZqqAd1UdvjWNr7yxkwn5XeBceFRJ1vispZks\nCI32UZDbPUxu+yBWRsc1RzwXx0OWMht6RKEnb2AVDeQjWUG+wTg5juIkx3i1N5PV2XVglLbOGDdd\nPo/eoRSbdg2yfls/n7r5NPJFE/9JrH2ZDiO5NHvjA/y5aychp5vudIw1Vc3cMHMZ88PVfGPro9wy\n/2xqPUEe6d1DjTuAR3Py2/0bUSWZP3Xt4M9tGzknNsIFxQKfuOoTDGHRgIz55F3kMm8HG3yr65HL\nJm/I759zBgCDDz03UT2tcPv43JKLAOjqT+L1miiuUaCe+eFqrpu7mMfb97GGIHnb5oHEVj6LIFyP\njBjkEj2cLzsxLJPHeveyuKyOBt80N+jUWlHZq/6mIMHG8OSNczyzHuhMPEXI2YRLDU5EWs4MXACI\nqqhpFVlR9eEpU0T+82bgWTK1aWKikhGXCEYOjz+W5HoUeQn3HLyHy1jKiFtnc3QXPsdCav0fZm6o\nbsr7xxsBx5E1ivxw99PECznmBCuZHawk4vJS5wnhdxy7jqvet4qQs+mIywNaDfX+04m4ZvPi0M8A\nQYIlJGKFTnJGDE32oMlTP6PysirUvtgD06YjNQXOZNfgH6kyW8jrNlFXNW09SepLjZGaOlkJ3t0u\nrMvCpYpRVbmXba3DhAPi70LBLOmHJ3+PJn4so4Nksg8XYFbPQOrYBrWzwRsmmUqjmfvBveyQg/oD\n8CqqaLITZtyH2baGodEkzbX9oE2T3Ba8Dga/JCQXZR8WrxU6YOgrIghh4J8gv23qMb0OMIbSxO7a\nhWteOd7T63DNKSe5th0rpyO7tQkdfXJtO8XeJMFLW5Bea7zzdHAuADMD+tBkatobidGfQPAdQnM6\nPrj1njlJgJufnNp4dbJC8Z+Qa2You5PNQ7/ArYRZ1H8drIDCgTFyu4cp9iRwtkROmDzGu7x22teV\noIvk4+04W8qI3n2A8On1ULgX53hvsVqOWpanMLIEJ4hBbPj94D5c1oVaLmQ3zjmi+VmtOOoA19ZN\nRn65BTtvELpmHrJb3AscTaGJiqZrfgX+82aQ2dwPa17DCXijkX5aVMyb7hbynyPALknMrNw04TyH\nvs+ySa3rJHz9AqJ37sJRX2pidmkUO+MYYzki711K7O7dGCNZcjuHcC+qnHjfxHZsGztnTBSUXm+c\nIsHHgFgyjyJLpLNFbODiNU3UVvoYjecmKk8v7hwknipw5XnNR9/YG4i0nsenlRqmbIv1Qx2EHB6C\nDje7Y/0cTI2xLz5EztT57KILmReqIm8auNXJi+8/z7geuXSTu7xBxODats3sYCX9va38ayKBu28/\namUTksMLz91NvebAatuMvfBy5L1OQlfMmRL6cChC185Dq/Jh2za9Q2nCASc+j4P+kTSh+i081Pko\nN825E0mSOKemhbFcBkgxGNT4t5VXEX1WuBbURgPU5QwkG/55058wbZuCaUxPgjPPigqBJIFahqWE\nOZgaxV3YS8Q9A6fi5mBylH2x9QzlZ9CViuJSVJZWfIBKzwI2DXciEcLjfBcFc+oMgOxUkV82KyAp\nMs45EayQgwejbbQeHOLKxoUsCNWQN3Vu3/8iZY5GQtoBYCkNoQiV7jQu7QZubd3IuTUtOBWNlJ6n\nJx2jMzXGLfPPYW6oio7kKN/esZYaT5B/X3XNa3ogNfjPOOpyTfGwsuqj2LbNxsEfkyz0kTFGKHO1\nEM93kdIH8Dtqpl3Xq1VSNDOcXvU3PD/wXeaFrz7sPS4lRNHOgGnhcCv8xns97B7isrNnAKAqMrox\ndcox4BVPwsWzyxmL59i6d5iAz0G+aDASy7KgZbIqrVMGxii5opg6LcxZjnLXfyPJKpvsWdQFupAc\nzVMfiuNpcK8Ckuwgb/pJxdoI1z0D/lsOf5N/3IWidM3YtpjCDVwNvguE40Ps/0Qy2atErnUER30Q\nYzhNvm2M4GViQJfdMUjhQBT/uTPIt40iaTL51lECF89CUmUcjUEKB2M4Z4anVookiP5x92EzGicE\nkiS0+b0fgZkPnPjtHw1GFDLPTO5X0oR22zNpwYh6eKXyLxW2bdOZWMeczCXUtS+hEBsldP0CnDPD\npDd0IztUfJe8/pHckiJmQLI7BlGDLrI9VxNc9HOsohtp5o9F1HrEQ+qZTpSgC++K2sM10uNQKwQJ\nBhE441oMjb854r7NVEHokUOuCQIMYqbEyup4V9ahVnqxdWtKCMhbArlSX0OxXch97Ny0AwK7dM+1\nckcPqjJjOSRZRqvx47+wGUeT0EyrYfHs95xWg+JzoEY8RO/cBYaFWuE9jARntw6Q3dxP+cdWvD79\nBy/DKRJ8FCRSBda91Etnf5L5syJ0DyQp6harFonOVNchzQA72kaoKHvzKwSxQpbW+CB+zcUPdj/N\nOdUtzAqUs36og6Jlokgy7ckRaj1BrmpczLVNS6n2BCaI7qEEGJh4/VBIksR7w/VYT/4BafZKWHEp\n0rILIRPH+vnnoboZ+eYvYSQ0lL7uI1qjmKZFusKLpkg88sg+RuM5FFnC49ZIpAqctsZPUof98UeY\nE74cgOual/L98k2UlXlxKJOX76KChVyKzj27uoWZ/giP9Ow5fKdWDju7Bbvq35EB3TK5q2ML20d3\nsiz8MEljCcjncyAxQrO3l86Mj97sRtJGgVghS5nzz0QLQp92esUMvrntUd7dsopVFUeuoNq2Td85\nQe7t3EZNPsi51S18f9fTE8sjTi8fnXcdD3V+ClM20CMFwOSKxrOYERigPTHKtrEebBvOrWnhrOpZ\nfG/Xk9R4guRNnfe2nM4ZlTPekBsGiO9fkRw82PlZJBQWRm6gNfZnDsTXUumZXrf8tsZ/x7J1nIof\nVXLinaYS7FC86HYW27Rwu5wTA8zxxLbxSvChRNhZ+g1KksT5qxpwOVTS2SK5gsHQWJbzV03+Jg3K\nkKwx8plBcMO+/jGWtyzH2vE060MfY1XthhNecbXc53DF7J+JqpRWd/gbJE1oNsddK/RuMUVZ8w3x\nt+9iMaU9HszwKpB+vhutwott2RT2jxG4qBlJU0hv6ME9t5yx3+3Azht4VtaRbx2ZGLCqFV4KB2Mk\nHmzDd464vrUaH8FLZzP0PxsmZiROeKd87XeE/ZuVeWOlB8l7wXfRVPeAmQ++cfs/SWDZJi8N/5Ke\n1AZkQ2HZ+ushp1P+uTMnCKmz6Y1rCnMvqULSZDIv9mJlDcpuvpnUM3OwUx2EFonfhVYuyJsxmj3a\npkCpAL0fspvEb694UPQAaNMP3sdlGFrN1MKGEnBR9s5FE3/bli0cfd5KrhGF/eBoEfebzDpxTpof\nOextx1oJtnI6slfwB8/iyVkc2a1RccvKCYcIZ3MYM1VAq/ZN+OJPbCNvkNnQg21amLE8aolT2aaF\nPpA6jDCfCJwiwUfA8FiW3e2jaJrMR96+CN2wGIlmueLcRiKlFC+Xc+rpyxfM6TZ1QmHbNn3ZOBUu\nPyk9z/axXpZG6il3+dAtk9vaXiBv6sQKWS6snYsqy+yNDzIvVMXlDYuQJYm8oaPJCsrLo4KP9RgM\nHetPP0I6+wbkhYc0DPnCyNd9BiI1SMEKrJ4hlIDzsPWjiTzZvM6mXYP0DaXxeTQWzIrwzkvn0now\nStDnIOBz0p7dS7N5obDPcjZQ5RE3ncpqPzPrxI/BcXodUsGguGcEW5HAtLm6aTEF0+AHu5/mx3ue\nZUlZHY2+MLIkMTpwK0q+irV7NqHKMrtjA4DNlXX7mRP6IC8O3UFvfhnfOP1aHul8lptmX0fY1UTR\nNPjS5j9zy/xzCGguTNuiwu2nKxXl+7ueotYTpM479cGgWybPDuxn80g3OVPnwtq5nFXVjCLLZIwC\n9d4wLcEKTMvCoaiEnP8/e+8dXkd5pv9/pp5epKPeLNly753eQw+BDQRSSA/JkrAJKb9kd7PfbJL9\nfrMJu2wSkixhSSNk04AAAUIzxmBMsY17lyXLsno9/ZyZMzO/P17pSLJkFbApIfd1+bI0Z+rRzLzP\n+zz3c981cKMXQzeJJOqRJImFBRUsLKjgKoazbo7jULjUS182RZHLR23g5JUkp4qck0FC5trZv0SW\nNBqj6+jLHGZt2c3jru9Rh7+b+YVXU+wZm2HVZR+mkwTLweNSGUAMQOqg3qjgBNskUuM3kkmSxOnL\nKthxoIvnthyjothPaIQesyUXoth9SMYB8MAq7ydxVj5KZq/QI55R0AieD76m7+NECFTeCM1/hoKv\nnnglyTPcbJXeJowYhkruFf/xus/BThhk40Z+MMsejZLcdBQ7ZeI/pxbf2irsrIXi0/CvrULyiPea\nrCtkewepYC8dQy32EfmQmCRILgU7ZSK7Vbp+8CKFH1iCXhnEaI2hhN0or4cWphSIyUhqq9CrBaEP\nmz0gpMpOFeJPiVL6G4h0rh+3EkI6hXzv6cB2LLZ03k3S7OaSmtvIPNCKa0VY0B6UN+ccZZeKZ2kZ\nqW3tKCEF2a3iP2sFZvuwzbASchO+Zj7JzWNd/qxYhuzhfrzLy4WzX9uXIfZnKL9NyApm9p04CI6J\nd5BeOTGHWJIltGIvuc7EW1YPdxTiTwrljLJvQuvNELhCaCx3/l9h/+4eEeCbNrJXI9eVJLa+icA5\nM8a9F+x0blS2fCSU4HAl2LOgBM+CElLb2zE7E6PWS25pxVVfiJ0yyfUk80Fw5lAvsccbKLll7bTv\nw3xT5QnwtyB4HLR0xLn/yYPYjsP1l83F49bwAB+8cvQLeChDVRhyM39mhJ0Hu0/peZm2xfq2gzxy\ndBdzQqIUXhco5JGju3ApGv3ZFPXBYr605CI0WcxGnXRcdMAXlIFjY7/8GNrRfUgV9ThVc6B63qDU\n2MRwbBvn8Z+JwQggGBkdAA9CmjkcrBlt8XGlUB7f2ERHT5I5tQUYpoXb5WHNYvESWjBruMnMiMeJ\nuOsJu2agdfwLhC6FyKe5YdANDKDw3Doc28FaVSlc2gZnli5F5fqZK9nW28K2niNs6TqI6hh80vMw\n7eW3MTvpo8jtY//AUc4ufgSJMuYUXEpD9FkuqK5DkxVydgK3Kl5+uqLyvbVjLWhnBAq5uGo+9zVt\nY1VRDQsKymlNDtAU72VT52HcisZl1QtZVVyDPGKgu7By+BqUwYc64q4nrnaSNcV1nwiSJDErWMyp\nL0SeGF41QtaK5/WJZ4UupMS7EFUeO+k5HouKrh13uSp7sBwTyzLxjJhg5oPgQXWIrGFRVODhinPG\npx75PBpet8bl584cNTlQVQ82biL6jvwyqaiS1GnX4WuRqQ43nnzurWuO0HAdWVI/HrIXLGGSgtkG\neu1JO7xt5HBsh4L3LiDXkyK9s4PUtnbMjgRKyIUkS0geLT94jeT5SrqCNZDGNTuCFcuOynApPh07\nYeQHmGxjH1pFgIFHDuBZWELgrBNXRqaEwOUQe2g4CE48KxoFZ61/ffsdiVyPeJ9ppYKGYjSLzNgb\niKeOfp0y72JWl9407UB4Y+t/UOZbRn34opNyLrt6/sCB/kcJ6dWcV/3PZDZ14Zg2vjVVSOqbG6RL\nkoTv9GqcweqQ4tNR6kfbDLtmhIk90UCuL4VaOFzWH3jsIGaLmJy56pZD3WOiyVTScBKbkcyjY46X\n2tZOamcHWpkf/9kz8Cyb3K5ZKw+IbOVbPQg2jkLXd6DqTkH3qn1EVKlaPgbRPwpKUM29+aZKx7RQ\nQm6yzQNIrTE884pGZcb7fr+LwPl12BkT2TP1kFL2aphtcRzbyUuo5XpSeOYXY7TGMI5GkTQFV10B\nmf09OKaF2ZlErwjgOA5WXxorYUxalUjt6pzw878FwcchGs/y6IbDzKwO0XB0gIpi/wnX9XlFx/oH\nrpiP48Aru06N45Fh5fjZgU0cinZR6Qvz1aUXo8kKQd2NW9GIGxlSlsG+/g4WFVYMB8CdR7D/8D1h\nDJAYVEEorkY+/SqczmbsFx+Cx3+G/OFvInknnuk6Lz6EE+9DWnw29LYhn3bVxOvnbLINvfhuGMsb\nzFk2S+YUc/7aag4e6cd7Aq3lrJUgYHVQEH8MPdeEPfAH5MhYXqUkS/mX3kgntgsq53JB5Vyszu/S\n1LOBw0YNWvBi6opOY0bEQpYUgmo3O3seIaiXI0sKEXc1htUtZG+sxCj5sxPh3IrZdKRjbOps5J5D\nLwOCP/3B+jXMLyhDmeLg5lKCZKwYfZnDzC24YkrbvFm4tPY2zBFyY4uKrnvd+5QkCQebY9Xb8Liu\nzC/XBicJmio4wWLipOYrMsdjVnWY2soQ6nEZA5em8Grsm+xrLeDD8z8GgJmzSc9Yyacj54DjFpzB\nk43JnKpkn6BBgGjU1E/e9MZOGCh+HVdNGFdNmOyhXowm8S7QJstu6QpO1kL2angWl2I0D8uj2VmL\n+LNNqMU+1IgXqz+D0RzFSeeEjNrrDoIvhZ4fCHk4NQLRB8R3c7IoErleaPkI+M4R2V+rG2T3aFWQ\nUwzDSpLNRYkax/jDwQ+wsvQT1IffNeXtWxIv05HadVKCYNNOs6/vYa6s+wFeLULmUC+Zvd0UfnDJ\nmx4AD8Ezb+JnU9IUPEvLSG5uJXSJyBLnBjJYvWnC18wn9lQDkY+uQNbFGGH2JEk9b+Jf2YhyHNU7\nc6iXXFcSzb8e78o5SIYJ8ccEZcA8CjPuG26cHIRWFiDT0AuvtmEcjVJw9SRmM7lukZEeaog9lej5\nsXBG9awWJju+M4f7HYYMVkq+AokNgCXWD78f3PNwTBv3gmLCc+eT2NiM0R7PB8GOaWEcjRJ7uhHX\nrEIk99Sb2SS3Sq4nReZAT14uz04YyH4dJeQi/kwTmUO9FH1sBUbzAO4FxRgtUfSKgDCdimdxcjal\nt0yQYEAYqkyEvwXBI2DZNg8+08DaJeUsm1dCznImLDP7PBr/8MEVgChRW7ZDzrLHDL5TwXge6Ovb\nDpDKGWzqbCKse/j8oguYERjbmBHQ3QRwU+oZPag5ezYhrb4Mac3lOBsfAMdGWnMFksePVL8CzrwG\n6w/fg55WqAniZFM4BzZDvBdUF9LKi5EGOcLO/peRr/4HpMj4HbzHI3OgB7XEny9nABzriLO/qQ/T\ntDh/bXWejlEaGX9Qs3I9FPc9gB28Aox9WFZ8cmFrx4L2r4nubiUiAorYQxSpOWZqvcjBm9jT+wC7\ne++jxDMfG4sy71JOK/vc4HdZScxow7ATqLI+qQUxgFvR+Mic0zBti1d7VN0CKwAAIABJREFUjmI7\nDqeXTr9B0qUESZgdJMwOgvrUvuc3Cy4lMKUJwmtBw4LnqIi9J//7SDpEzhJBsGsCZQJJklCVsc+t\nrivsbimhosQHKIBFNmuQTA3KfsknnvCeUsgj6BBWFJSTx7fMHu5HLRrOiskeDTngInLj0hOWLocg\nDWZ+Za+Ge1Yh7lni3eM4Ds48GWNzFCuexbu8nMz+HtK7O/EuLyO99yRUxBS/MHhovFBIxGV2C6c2\nowXc8ybffjIk1g/rL/f+j3AUO4mTj6kgmm0h6Kpibdnf82jTF9jceRfVgdOm9Fzl7GGpOtuxsOxs\nXnd7Okia3SiSTtQ4RthVg1cTgV1ySyuB8+teH63lTYBvRQXdd2/Bu6ICrdiHNZBGLfLiro+Q2d9D\n149fpuTmNcguFbMlhpUsAXPDmP0I6pBNYP5fkLNNkHlEODNmdghpzf57h+2bHQv67kYru4boX3qx\nY10o+g4cZ97weG40i+20UmHcEX8Cev9bKBOd6iDYzkDfz4TaTPQByOyEkn8eu557ofiX2Q9H3y8q\nMZU/wTELkfUMik8Xcp9b2nDNLEQNu0luaUX2asLZb0c7niVTV3TRK4LIPi2f3QewkiIIHkpqOaZF\nfEMTWpkfd32E1K5OnFUVmJ0JSm89g87bX8hnkh3TwrEdYZ+N4BHH1zdN2tD31pjivUmIJw02bBY+\n8Z29Se55aC+O47BsXgmSJKFNYwYsSRJet0pisBzf3Z/i/qcOjlrHtC1M26I/O5xBsx2HlkQ//7lz\nHZ/Z+Ftu37mOda37+cne5/jd4a20JqN8bM5pfGXpu8YNgCeC09GIVD0PSVaQz7kO+dzrkTyjB3op\nVIQTFYOW/fjPcZ6+B2K9OAdegSZh1uCYBiQGoGDyG9zO5IitbyS9u3PUoHm0Pcaf1h3C59W45qLZ\n+QD4lg8sZ83isaUmx3HwGQewPctQi28V+57KRec6IL1FvHR6vg9tt9BAAa9QKkpg7gUcHniaC6u/\nSX34YiLu2awp+zSuQdpDsWcurYktdCR3EnbVTuWIeWiywtqSutcUAAO4lRDp3ADpXP8Yrd13ElTT\nhWdEkDv0HGqqjGnaGKaNrk3/1aVrCv2xDOXFfpi1DtuRyGYSGJk+HEeGGb87adcwLchewccDEZSd\nzCC4sQ/v0uHnS/ZquOdEUHx6vgR5wtMaHExGShU5jsO27nt4vvKHODjYmRyumYXk+tNkD/fhXVmJ\nnTJHWZOPsimfDoo+C0VfEOoZgUtEkGoem3y7qUD2iaDa6oeBP0D8USj4yMnZ9xSRMDvxmUUE5HIu\nnXEbQb2Sx5pupTWxdUrbBvUqbMfihbb/ZEvXz1/TOWzuvIuHGz/Lprb/osgjnPocyxbc1pq3eFl/\nHMheDa0iSO8vt5HrTWHFsvm+lNCls5FUOU/hMbuT5JIVyM4RQYcZhG1YKPKLlFz5DSSXDuldYjwp\n/CTMfBpqHxSUge7bxQY9P4LeO1Hk9QTfVUPhuf9LaMmvsZMJMbk9uAyar4WjNwhaT/89Iogu+Ro4\nNjgTN5yNQbZRGMoM/B4Sz09h/UOClhW6WljBV/5Y/HwiuGYBDqhl2F2/wO7ZgEf/O3ByaGUBcr0p\n4usbsWJZEhtFb4F3cSnkjuEvvEpMCjL7of2r0Pkdob09DiRVxrOkDDshejwcxxGVK5+OXhum8ANL\nCFwwk/TOTvTaAvTqkLDJHuxFkGQJya3mG/YGHjlA952bR3xN/RitMSI3jm/+NIR3dCb4UHM/W/d2\nUl8T5pENjSTTJvU14Sk1GTkNr+KkE0h1i5EGZbiqygIcbYsRnltMc1uM5jaRhrcdh30D7fz33uex\nbBsbh/nhMqJGmo60WOeGWav44OzV/OrgS7QmoyyLVPGh+tUE9demOOEc3g4dTXCcZfAYhIpxdm7A\n2rEeMknkz/4IyeXBPvAK9rO/RepuwdmzEdxeJHnyrlezKyGywIVe9EER9f5YlvuePIjHpXL6UpHh\nbEtso8y3hJwUR5PGDvox4xhuyUHVa0D2YtY9hdJ0CbYjaAxbOu+myDOX2uDZozc0WoTcS/AKSD5H\ne+gTtGe7se0Mf8we5oLMEQw7RcQ9C0maPUYWrMSzkIh7Ni93/JgFhX/HGwmXGqQ/04RbCY3R1n2n\n4Lyqr7Nj+z14w2ODYI9Lo3cgg2Fa6K9Bo3Zom4piPygeslaIrBHHNHrIqJV4TiSrdKoheyG9VTTs\n5NpPahAsOraHs3m+06onLG/bTo5MLopXi+QzwSObWw9Hn6YztRsJCcOVwhcpY6/xIIVmCZ6SIl6J\n30kwEiGwtRbfqkrstEnXj16eluVqHlqlsIoO3yBKuD0/BLNlevs44YUmQa+G5ItCGgpObdPdOEjl\nepAbHFL97RSsruWKuu/TntzBKx13UulfmV/PtNNEsy35IBUgZfbhSvhwdIuO5E4intFW0692/ZLZ\n4UtOKFk4hGi2hbMrv8Kzx/6NAlcdIHiZSsidnwS93aAWuDGaIPqXg8geDbVMJH4kVcZVVyCczyqC\n5LqTaJW1OI6EZHXnObBGUz/umoPISj9Ebobu/wArJZrnhiqD1b+E5uuFkkj8cSj5Z6Suf8PrAaRV\n5LLFOI3/hFI9SIVSy6D0X6DjG2If5d8RzWeyV9yLkz3z8ScgvVOYObV/SaiYxJ8C12zR7DcRsnvA\nNUjNkF2Tu19KGlbkV6DXIbW8G61gkIaS3oZatAq11I+kyJjtcdRSH8HzZ4KUIbR8UGqu/WuQeEr8\n7DsHmj8AFd8T534cFJ+O2S2qYE46h6Qr+feTXhlEK/GR2dOFd1kZsktFCbrIHOrNV7Fkj4aTzoFP\nJ9ebymeVza4kua4kemVw0vv47XmXvw7kLJu7/riDM5dVcuBIH5Gwh98/foBzV1WxdN6J3XXs+ACS\nxwdGBmfnszgvPwKRSkhGcXrbcdoPU1pxMd2aaKywbTGz3Np5lD3Rdl7oPMyVNYu4tHohbcko23tb\nWBqpIqR7GDBS1AXEAPy1ZZe85mtz0gkY6ILSWuxdzyEtOhtpErMEqWouzqYHkS7+KNL80/NNcvLc\nNTiqjnN0H/LFH4XCycvzTs7GTproFUHCVw2XLJNpk8oSP++7VHCQEkYnG1r/Hy4lgCZ7Ob/6/+BW\nQjTFNjArdCGypBAzWgkpfuH1DmhqIQ42ncndlPgWcWjgCZqiz1LlX51vzgLAPIajVSP5LyJbeTev\ndNzNGeWfZ2fv77GRebb1/7E4ct0Jm1AkSeK08ptZVfoJZOmNlbpxK0Ey1gBF7jmTr/xXCkVScRR7\nVCZ4iA7h92okUgaG6X5NQXAqIzIGkUEJMMvxYGRi2EYf9nh60m8UlAKwE5DZc/KD4NRo0XnFf+Ly\ntmElOdD/GLt7/8DcgitYogvXtlGUpsRmFkXey/6+R0j7BqBKZ8/AAyye8R7kUj9HYs9THzib+Pom\n3POK84oUTtZCOgH333EcsJwTB+dDz7dWLQIOOynMEKbp+jUK2f1if84zwsnPPMYYYugpRiLTjSvh\nI9nYindZGZKmUOZdgu2Y/PbAdVxeezshVzVbO39BU2w9Z1V8OT9pT+f6UNsVqqKLKbxkIXv6Hhi1\n7wP9j6LJPnqP7iNHlotW/N8xxzetFFkrQZl3MUuLPkSFX1D7cj2pURSatxsC59RidiQw2+K4FxTj\nqh1+ttVCD2ZnAvfCEnI9KYJLZ2KlqpCzDaCWYBs5kpuPEVopgz4HgpdD/y9B0ocDYBD3XslXoO2L\nUPR5oTvf9W+gz4byf8fs3o1L/T84PY2Y0nfRZ5wDkks836jCpQ1ERWKyINhxRDXENUc0tPkvEkF0\n8ZfhyN+JasaQ2ZNjj3aWdBxIbhQOglOEYzt0/zyOXtOMHjwd/7xB2bTsfiTvakIXVRJ9+gh2KoRW\nFkCvDmF3/S9ypBFHq0HyrhVBsFoqzrP3Z8MB/HGQfRp2o1DgsAb7F0ZC0hQKrx82PfGurCD2RANq\niaBQyh5tUJoul1fyAIg+doBcXxr/mZP3JrzjguDWzjiZrMW6l48yr66QS8+qw7JstAkG1Vx/jJ67\nd1N8fhpJVXA2PQi+ENLS83C2Pgm2JagGm7ZyVIkQS5ax8VVRAnisYR/+oMpta68hoLmRJIkZgcJR\n1IYC18l54dj3fhPifUgXfBDaG5E+8PVJt5Gq5iBf/Q9Qt3hMYCjNWoY0a2rd8lY8S/edm5F0hVRV\nkIAtytZuXSGVMfF6tHwmqCu9l4i7nmXFH2Jdy7/y58bPEtSrSJgdhF0zKPbMJZXro0CSRji5KTio\nvNJ+ByFPPbKkUu5bTsPAU8wrHDZesLJ72RPfTMCzkbbkVmoCZ1Dsnc857q9iWik02TMl7txUVA5O\nNrRBofLXwu37a4E8GAS7R2QNh6gzfq9OPGmSNay8PjAMirk7zqQOZtVlAZJpM38fOrKXRKIfrD6c\nKQRAju1gJQ3UwEm+N/RBqafIZ0RmR5u8E30y5AYyKCFX3vFtMvRlmnjq6D/jHgwsD/Q/ytKK9wNC\nfgrgtwdE8+PpZZ+jzbUN52I3rfJOAkYFqTMSJHkVVyKEVemgZQIkt7Tinism91Y8S3p3J676CEpA\nHyVzlN7VSeyJBko+f/rEGqtaNaRfFeXj6INQ/u/gXfWavh+sGLgGJ+ol/yh+f4NlBpPpTsq1+Whl\nPrrv3krwXbNw10cocNfRntxOxooSopq+vkMs6L6SzcpPKXDX4ddKSKS6cGX8lHcsxmNUkzEGSJrd\n+LTiPF/YsOK0+3ad8PhRo5WgXoEkySyIDHPwcz3JSe1x38qQNIXw1fNxstaoCRyAZ3EpPb/ahmNY\nyB4VvbaA7IulWHs2kukOYPVZqCV+FG+nuC9kHyhFw+PQSPgvgJrfCbtz2Q2zt+XvIX3WaqT2JFay\niOSRavTZg+fhO1c0pA3da7JfTIAnQvpVQIKyfx99j6pFIiPce5do7uy5QzTazXxyeJ34IyIILvrC\nlL+/IbqIcTSKftqVSDwu7KZTW6DgRtTspwjMCpBu/TpKgRtSW5Dj94nv3r0EwtcKXXN9pjhfrVRQ\nMsxW6LoNUi/ArA0ge9GrQsSeaSS9pwvZqyFPMEkH8feLPdFArktkj2WPipU0SPzpKFgi8Wh2JoS+\ns+WgBCbntL/pQfB4DWGnEkfb46xeUkZx2MucGQXIsoQ8Tpk/ubkVNIncsT703B66ylP4D8t4ixQ4\n/SrkxedCXwdOXzsHZy1lu5lkSaKLllg/jx3YB4CtWlxTuZxFta/Pv30iOKk49p1fQLr8JkgnkM78\nO5wNv0daeyUEI5PvAJBmTsyZmQoyB3pEN7lhcaQ9xpP37SI5yNWZPzMySgGiP9NEdeAMij3D5ccK\n3wrAoWFAlFFSZi9l2KOE62XZy5llf8/zHT/FJQdYELmG51tvGxUE26ntxORCGnt+gyq5WVv7WQAR\n/L7F7U6HgmD1LX6epxKypOLoDnp/ZsxnAZ9GPGnQ2pVgbu1w0Bp97CBGS5SSz07seDezKszMquGM\ni6z4ifUPoDtdyNrkqhBNe5/mZe0u3j/3j9O4oilAkqDuCTGonYTqQ8dtGwEo/NBSJEWeUnd/a2IL\npd5F9KT355c5PpmCaxciKfIoXq9LDVLiWchh4ykGUi2cW/k1Nrb9J5aTZVHkffR5GwkvmEfPr7ah\nDWZsrFiW5JY24uubkH0aJTevJb27k/gLR/PcZPNYFNfMCSYj3lVQeSd410D/r0RW+LUGwVqZKG+H\nrhMZqik0wJ5M2I5Fn9XIfPlSghfUk3z5GAN/2oervhBp8LWYNeNs2PRvRCPHWLz9CnpLqhnINuNT\ni+lM7KBKX45jWmSf7CCzMsrDjTcTds1AkcTA39S3AWRQzfGrgVGjhZBL0OUcx6Hrxy+jeHWsRHZU\n9u3tCMWnwzj91krARejS2eS6kxScXoPi18mlqwjO+DUKzzPQ/q8Ez3chHW0EbTCLqBaDdoJK6Mgm\nzRExjOz3kEsWkzx0DlZ6xLus8gejt5d9wiZ8IvTeCQUfGn+SVnADHPuMaLaL/hGQoe9XUPgRkQXu\n+7WQaHRNXfrPbI+jVQUxj8XQZy6GJIJeGH8KYn9BMo/gKob4rp14ZsTg2B3iGO4FItsNo22Y1XLo\nvVtYw7vmiklsZi94VyF7NQqvW0TfH3ajFvsmrFSBiBMD59WSG9QvV4t9xJ9pQgkNJyYGHjlA8KJZ\nWD170IN/AuemCff5xgfBjiM6fQfFmPf3/xnDSrC0+AMn/VBtySjl3iADRpqBeIb2ngTbm7poDByj\nXPaS2ZajwOXhlkXnjwrGM4f7iD/bNLgXi2gky54zH0PeOZu5u3r4Uf1ilkY7icgONarGw14fC31h\nNE2l1hUmmswSKtep8kZwzFMb3DsHXgHNhbPvJaS5q4Wiw4IzkAKnvrxrp0xi6xtRAi7STf0845E5\n37Dwht3MqyukL5ahoyfJvsZeTl9WwcH+v2DaKVqTW1lV8on8xKfCt5LlJTdyNP4iL7TdzpHYBjTZ\nxzzNHO3eJHtwyRppq5+QXk3YVUM615d3rgJQcsdw+9/PVWW3ANIbTml4PVBkkbFT3uAB+a0EWdJw\ndAe5fazAua4pLJlThKrKzBqhxelYdr4ZazqTaU33Y2Vacbs6kV2TWwDbiugyTmf68bhP8vOlTb2r\neiKMdHVKvnIM2Xvie8lxbPqyTVi2QVtyK4sj7+PMilu579CH0WUfL7Z/nzNqv0DC7BozgSz1LeKl\njjuo9q+lyDMXSZIJapWEXTNoTW5BCbpwz46QfFk0sqW2tmEnRQOMnTRxbIfk5lYCZ83AGshgZ0yM\nY7GJg2BJA9+gHJJWA+kdJ173RMj1Qd9dogFRDkLpOF3ypxiWbTBgtOC2Q3jVApSAC/9ZMzBaY+g1\nIYKHS2ibBe1HX6UtIq6x9Lo1NO17iUSkg1ZnC0YuRaW6AiMQxe4SZeBibS4ryj6GYSVJ3HsYdzJE\n3/ltNCjrxpyD49i0J7bhayug68FXUMKiShm6Yg7I0rj67n8tcNdHYITGsDRIP9PCLRSddRPSkUG1\ngqHsr3fNiYPgE0BSZAZe/TxqpIZce/TE76YhOsSJkOsR1J3gT8b/XJ8DZd+GAZGJpe4v0PoZkWHW\nq4AceE+f1rmb7XHcc4qQ3SpaeRAaBj8o/y60fBi0Kmzfxyk883ZkVwKC75lYBlKrEhKEpf8qGvK6\nvitiwMEJrBrxErpsDv1/3I3vtKpJz8+3qhIG/hcMD94ZGzBbqghfvZyuH70slCWKvHiqt4L7djAU\n6EkAJw6u3/jRNtcJRz+EWf8iz7R8E8s2CGgVZMwUDV27WFQ5fjbHcRzaUlEOx7o5vXRmXgt3JGzH\nZk9/O4ei3RyIdnIk3kuBy0vKMKhursH25Aj4dP557hx6sQk6Npt2rKP/1fX4Y33YvhADF3wa6fF2\nNE8MMx1k4JJyjO3NALRUlHKgdClL65awq7+NpJllwVV/zweKaqj2F9Aa3IiSc1joq0QNCjmnZGqa\nnZ/HX7dtQ8NWmLksL1c2Cl3NSOdej7xkBOfnDQiAATKHhZbkEHrKPPxOl1k0s4CLVg9nGDa+2kom\n8DBbu9ZRH76YpNlF0DV8sw9lQMMuMfO+ZMb3aI4+jyvxm3yzAgCSB30wqNUVP7KkIksaOSeDJnnA\nySE5Jh5txpSkzd6qeK3N9H8NkCUVW7KQDZtLz6rFM0J3UpIkzltTM2abodK6Y1jkYllSW9sIXTp7\nzHrHQy36KKuSt5LJedE8k+syO4NjWF/PYSqrXmMG8hQj15tCKw8QvLie3l9twzVrdFCZs7N5qs/+\n/kc42P8Ymuwjahwl4pmNJnu4dvY9yKhsaP0OWzrvpjH6DKtLb8KjFnJR9bcA8Kpiv369HEmSKPMu\nRZE13GqITE7oCWtVQdK7OvEsKcUxLNRiH+65RaS2t5M93IeVMHDPL0aSJdL7uske6p36hapFwwYj\n04FxGOLrRAl7PBvrUwzDSvJQ498zK3QhwVx5XldVdqsUfWQ5djZHxfMLyeQGaJzzLIvkayl9aRb6\njUF8jSXs7P8d1oDB8gPvQ58fBltCLfKyZMfV+DsihD5RLegvsRhFH19BmV9h3+FHMK00mjI8kdnf\n/wjpXD8zd64heOFMBh7aj2dRCVrpmyQT+CZCLhjO5uYyy9HKayF633DmNfy+17RfyV2Od0UFRlsc\nO2WOLzd3oiDYaBY85J4fgf9cMQEc9yAS+M4S1QyzTUymi26Fgd+IfprwB6ZN8zHbE3iWlOFbORj4\nV/9aPC9KEGofBtmLrASx+p8DnhWucxPBNVPQH4YSWvosyIym6eg1ITyLSkYp2YyLXBc0Xi54zz13\noDgZCi+5FTwaZV85Cyf2BAz8BLoahQqGPgOOfQo464S7nDBS+Md//Ec2bNhAJBLhz3/+MwADAwPc\neuuttLW1UVlZyfe//32CQcEj++lPf8r999+PLMt8/etf56yzxjnwoBzICxu+Tl+FEIiPx+Gp2A+J\nWodw++uIm1kORruwHJueTAJFEva2Qd1Nge5ld18b756xhG29LSiSzGXVC3Ac+NmBTbQlB1hZXMM1\ntUsp9QTJWiax3YfZIie5oTYL/UdwHlhPgS8EjsPZoSIe9gfpnb2U0xr3UX3/HhK1UNfyNP9TfybR\nXIzVSzsAKPTIXLZCNItcUD1WCNsVCGLEc8QSBjMKZbLHDtIfGWsPO1U46QT2Q3dAe2Oetztmnf5O\n5AWTdHueIpjHYqLsEM2wp6GHK86fxYPrGnCN6MaUJImzV1bx2wMiG7G69FMsjrwPtzqC5jAY2Aa0\nMhZFrqPAVUthMAbpB0drd8puhl4FQ5kpXfZiWAnxu53AQsejvYlNTn/D64IiadiShZPNsWDWsFpD\nx20b0SqDFL5v0ZjyvjWUYUyZZA/2kt7VOaUgWPavZmPHrZxbcRuKu27S9S0rCyok413TvKo3Bo4j\nsqtaRQCtxIda4kMrGw5qetMNPHPsW7y3/hfIkkJzbCOnl/8DRZ65tCe35fVph56tUu9ijiWE+cvu\n3vsocNXh14cz1pfOuC3/++IiESjIkkrWigOgDDbkyT4d/8U1wnjDreKkTRIvtohzGxyfFb+OlRjf\nDntcqEVC53e6sNOiwajqx9Pf9iQgYXZh2QYH+h9hrnEJ8nHNgrJLxbEc3KkQ4Ww1C5dcizxbvB8L\nwjOxpKeoObSK8vAK3HOL8Mwrxs7kiKwTCYTsoV70GWFkn57n9fqSEfqihyktHLbCbU1sYb7vPSgp\nC9dskRXVa05eQ+bbCVpFKfHN7yaw4M+Yuc+jFc8VRhGvE4XXL0bWFeGumDTGD4KVsAjsjkfXdyH1\nkghuK26f/GCSJgI+EK6X7V8V1KriL07rnG3DwhpIj64EeEbEHSP6FZTKq6FnimotIyu6+gxhPDLy\n9GWJ0GXHNYSnXob+34BeJ/jFWjWkNgr98OIvAZbQ+87uG95P/FHhMun/tlB/Aaj8b+A3Jzy1CYPg\n9773vdx444189avDfup33XUXZ5xxBp/61Ke46667uOuuu/jyl79MQ0MDjz32GI8++iidnZ187GMf\n44knnkCWjxuw4sKtyCk6SmnzQjqqDmLpxxjIJFD0FH88uJ2g10Why0cqZ3Bm6Sya4r3M8BdyRc0i\nLMfmZ/s38eO9G1gRqWZrz1H+3LyTIrefkO7hH5dfimtQ4eDYkTZ27jhCa5/BWUVR6I3i9LUhf/ib\n2C/8Cfns6ygpLONGx0GWJHJzovTesw059jTrSsIsO62OjPEAPZkDRKxZZB3xcncch/i6Rqx4Ft+a\nqryvuB4IYfTbRBNZgu4YmSObeb4vwv6mPj7x3sV5m+WpwtmxHikYger52DvWI9fMh2MHoLgGyRsQ\nahC9bVD42htppltCHgmjNY5reTlHgjq7euJ8slLc6Injst/CXtfDe+t/ATAqAD6n8msUDOrxSpKc\nH0zJ7Bx0txlxbrIHyRH8Kl0RD2nWjvNw482Cp2nFMSUVt/p2f5m/c1PBsqTiDAbBQxgKcs3WGFbC\nQA2P5jjaKRNJk4Uo+jgmGRPB8azk9wd/wo3zpxAE2+I8UunRZhB9v99F4Ly6Nz2Llm3ow+rP5JVZ\nQpfNQfZqJM0e3GqIrV0/J2enyVoxZEklPtiIKksKlf6xmW1N9hA3OqgJnMFpZZ/DcrKjPi9w1+Z/\n9g3qWttODsNK4jh2XppNCbiQJCmvDqHXFZDc3Er2rBzPNwolFlNN4Ut4cQZVdSbTMEYZzAQ71vR4\n1E5amJO8SUiZPZT7lqIrAQo6ZiAHxxkTJChrmcfS6z8+is5VXXk6Xc/tZG7kCoJnDVuCSy4lv13q\n1XZi6xpH2dqGMlU80/1NCppqWF16E6GKWvrSjbj3uJHLZSRJouiTK1HCEysJ/bVCK/XT13gx3uUh\nPMsWgKyM5rS+Rgw1eUqaQu+vtlN66xlj+fneNTDw20HO7+BnjiOywNW/Epzj6cplKkFxnztMu8k2\n15lALfJOzSXQf574N11oNWA0iYTo8dc28nnu/i8IXCyWpV4G8z7IHhR2z0Mud/5zRaDc9V2xv/R2\nKP366AqyOnHT84RR2apVqzh2bLQ4+TPPPMO9994LwDXXXMONN97Il7/8ZdatW8cVV1yBpmlUVVVR\nU1PDzp07WbZstLpAdqANgDO0Fg5TR2f3HMxAF2UNS+ld/Azvc5cya+HoRq2VxcMlUFVS+PSCYV28\nq2uXYtoWRxP9FHv8+QAY4ODmHWA4XDwnwIwz3zNqn8p7bsn/LA++TKycw75Vz5KqziKjUagfIUYJ\nF9Z8k+Z9z3KYZ8jkovS3N6I2WahFXszW2IggOIBhS8QSBkF/F+XZRj6+3OHBRp2BWJayomkGwQ3b\nkM9/PxSU4vz8n7B/8GnQPaLpbfkF2A/dgbToLCTf1EXNO3qSPPXiEVyaQiTsIZ40uPrCybNmx8NO\nmdhJg4e3HaOzL835a2qQJIlzVlZReVwwkM714VUj4/JzR+phjt4UdM2UAAAgAElEQVRou5jxjYTk\nASuKhkVNQHCQbGeQp2n24klvxXAkPON18v4NbwvIkopFDjszHASPsr20RlummF1J7ISBWuzDTpv5\n4Gmqk7viAi8DsbFNeOPBckQQnDb7Ri03jkYxOxNvahBstESJPnaQ8FXz8vSQoaa05498D0mSSZt9\nhPQaDvQ/xqH+vyBJan4yOR402YtpJ3EpQRRZQ2HywViWVDTZjWEnUQeD4OOVBvTKIFp1kIaKpwgp\nVTzX+l0Azk98gZ67t+BbXYV3+cT6tsguob1qNE2r6Qf71AfBe3v/RIV/JWHXWOpOMicUHFaVfpKB\nzfuRSsaOCVqpH7MtPobSpRZ4mWtdQnBF3ah7W5IkPEtK8SwsQa8K4Vg2jjU8kZ7T+i4qdy2ifeE+\nDqp/oa7gQgLJYnL7YvhPqx7c9zu3GVdSZYo/uRrleM35k4ShCkf2cF9eLSUP35nQ/2tRsg9dC8HL\nIHtABMGeiZsT7WwOJ2ePn2H2nSeqJQz2TGRyU3L/M0dYIp8yqCXgWQktn4SK/xJBamqzUI/o/Feo\n+KH4XowmkZEf+bw6zujEmF4nlCjsjFDCCL9/dAA8ldOZ7vn39vZSVCS+3KKiInp7RUmqq6uLpUuH\ng9eysjI6OzvHbC8H2njFKWEgt5bzKtfjtP4Lne55rF0T5PHoiwwMtAJTVyvQFRVdUZlfMHrGY+96\nnlgszYIzVzNj3iSGEYNIpLvoK2jm3LKvs6XzfzjU/zgLi65FlhRceoiU2csLh26nS97LlQv+Qxxn\nhOWf7vVhOpDLmHi3PIRUVod3+2OEAxczEEtTVjT1ZgOnpxX62qGsTmj3FldBWwPSedfj7HkBZ9+L\nSMXVSOdcN+V9Arz6x12EgUNeFdt26B3IkMnmcE9TGN1ojZHwa/RGs9z47gWEgyKLsGrR2JmnYSVH\nD7aJZ0V3aNHNo2d+ji3kYOJPiBdB6b+M3pHsh/Yv8V7fGUgjMleFZNCOXgdWH15kcurbz+loJAL6\n65fIertCllQccjjZ4efKOBYjdw5ou1045uggOHOwB++ycqxEFjttCrk0BD9YmsI9XV8TJuCbWqYl\nZ5t4smHS9kB+mW2IYH2kFu+bgeiTDehVQVx1YyeASbOL6sDplPuW0Ztu4ED/I9hODn0S3vwQh9St\nTO95cilBslYM3SMC2SHN2SOxjZR6F6LJHsLXz6ej4XauqPs+0WwLzx77NsosL6rjJtc3tilyXLgX\nCW1lVz0kN4kysDyJtJedEZPpk4Rcbwql0IMkSRyJbcSw4uzo+V/aktu4qOZbY9ZP5/rwDGam7LQ5\nhg4BEL56PlZ/esxySZIoeO/Ccc8jdMlwIkNS5FHJ8cLz5lIozcPTV8kW8268sWJCHRUUfWLllOTz\n3glQgqcuC66EXdjxLKkdHWODYNkD1XcL6+6Or0OuG5LPiiB2EvT/aS9mW1xkmI+f8Ff8Vz5Y7L9/\nL0bzAGVfOTEvdghGexz37KmpSr1mSBKUf0+YkDReAMGrIP4kOBnwrIDOb0DJPwkKxfET1vESGxXf\nE/8XfEDQJqaJ19U9JEnShNmW8T5r7qpi0+PnIUsa+7p0lpTu57ybLiS+vgmt0IPqff0anE7OwHn2\nt8QqP0Vx+eTSR0NIZ3updK0m4p5FlX8NO3t+S2SwLFLgqiPcUYVZY1LCAtrr99LXdZDazFko23W8\ny8qRvH6qSiVkyUF2z0G+6nM4bYeobuhnYN8umHn+lM/FfvEhnGUXkTYcvB4EJ9i2IJvG2fsiUqRC\nGFycwPRh3O/FcVhT4EMGTq8L4/ZqNMjR1xQEp47005yzuPE9S/B7xs4wHcfBwSZt9iFJMrrsFw0p\n7gWQeAZiD4uSU/IlKPuG2KjzW8O2qJV3jBUQL/kaFNyIFH0ov6jcM5+1dHJMKWZGej2aaz7K6xHR\nf5Nx3ex739ZNfa8XsqQRcc/BzuTy2VwnZ/Fy+GcsLbqWQmUsF1+vC2M0RzFb46glXiHenjKn5HgV\n8OkEppAhAbAdg0rvaiw1i+M4mB1C31OvDuU1Kt8MOJaNFcsSuXGspnfOzlLormd16U1IksTe3j/h\n1SIUumZOas2tyV5KPAtG0R6mgjLvEjK5KEG9ksjNKzmUepK57svZ03sf7cnt+LUSagKn41aCeNQw\nHjVMxD0b+10avr4Kso39UzuQPoM8daj1ZlCKoe4RkSUewvF0CSUktJhPAqx4ltjTh/GtqSTh72Fr\n2/8wt/LdrC79NDu67+Wl9p8Q1MuZGbogTwHTZT/udj+W2xDVg4qxWTfFp08pazdVaGXiGAVOHV6j\nmB7zIDXaKtTQO5P+8Eaj8LpFOKZN991bsOJZlON1xiVNJIR8Z0PPD8CzStAjxoGVMEjv6cS/thqr\nP4NeEST66EFCV8wZHW8NaaFbNthTfzfJmnLqM8EgqB/FtwppN6MRan4NLZ8SWsi5Nmj5qKBDTgcj\nnuuXX36ZV155Jf/78YyGkZj2aBuJROju7qa4uJiuri4KC8WstrS0lI6Ojvx6HR0dlJaOlf2Zu+hi\nbrlFUBFyew6T2GGT2NRC5lAv2nIP7dFGlnLhdE8rD3vvJpwdzxItmU8sA17P6Et0HIfG6DPUhc4b\nU55PGb2kDdFxXBs8h/bk9vxAoYf9zH3wIuyDFtvOuJ+t6Z9TqM7kaMtGag6vxLusHMfl41hnJwoW\n8tmXILm9SDOX4o3u5dDOI5w2jes43G3xkjmLgft3Mas6zCVn1aIqMngCyMvOh+r5eXe3ieA4Do9v\nPELApzGnpoBsa5TwmiqSzzWT1GS8qkx8WXk+kzsR7GwO2aViG5YQt15cPCYATpm9vNzx3xR55rK7\n9w8AzC24UmSC+38BxhGRrXEvgs5vi4cgcLEIiBNPCx3Bqp+Or9upFoIdhfRm4efuXkREBitzkP1q\niGrfuWTjT+J9G8miHY83w6TjrQQZhc70LioLF1BwNIqTydFzeC/GjARpbx92woQR89rM/m7c84rw\nraqg55fbMFqjWL1pwQ8+yawYyzGwUiad1l5yXUn67t0hDClSJk7u5EicvabzimZQfPq4RhNJs4tk\nrjs/QIZcNRR55lDiHT+jOBKa7KUrvZeF0rXTOh9JkulK76PEu4C01s+rx37B7IJLSJk9xIxWNNlL\ngasW/4iKR8Qzm570QQq1WrKH+wicUzv5gZRC0WUeulr8bnVDcoN4nwzh0EphcesZnCAYTaMdtV4H\nUjs76AzsJ/xEjPhp/YT6y6lsXIBWHiBU/zWiagsD2WY2d/4PZ1d+GYCe+H7C20tJHGtGKwu8odbE\neshP19G9FCbrKK9Y8YYd950OkZmX8SwqJbW1jcB5J+g/8CwW97L/whPeo5m9XSSea8a3pgocQYMC\n8vShgQf3Eb5mAfrg5Crb0IeTs5HcwlRiosmV4zhkDvYQuHD62dTXBEmDwEXQfbsIYGc9JZZpJVD9\ni2nTGkZi7dq1rF07rDR2xx13nHDdab8NLrjgAv70pz8B8OCDD3LRRRfllz/66KMYhkFLSwvNzc0s\nWTKx9qZSXIFvlZf0jna0Uj+a6cFwxpaBHNvGSQyMswcBe8ezWPf/F87BzTgbH8BYdAF/5GzOWFaB\n67hmtP7sEV7pvJOe9MFRy3N2hj6nEbckso8+rYiLar6Vn8ErAReF71+Myx9C1UWgUizNw1JEE1j/\nQ/uIbxbcRclxYIR6RO3C2bQ6Eezc5HJpzpHdWA/+kH1OJQWFfj5z/VK6+1N0jSgRSnNWI3mmxj9s\nbotxuGWArXs7aT3Yg62rBM6uJXzNfApvWIzHsMiMKD1PhK5fbiO1r5tMYx+9isTilWM1/RJmBz2Z\ng/kAGOBwdB36kBRM0S1Q/P8JlyxthiiBtP49tHwcCj8O1T+bWLheDoAdh5YbIbuPxeHz8XkWIyGx\nV13KOvlvL/e3M4aCtVfP+D39f9jNwMP7ideJienumodJG8NZQse0sOIGx9QtNGSeJnTZbKxBEXXH\nmNo9PR1YjonPKcZwJ0gfFOeklQWEPfBxXOU3EnY6d0I6xoH+Ryn3DtPLKv0rpxQAw7BKRECfhJ97\nHGqD53Cg7xF29/yRpCmaCONGG0gyuuzDcWya4xvxj9BGDrtqiWZbUEJurFh2lDnHCaFEhEKEnRaD\nZ+RmSD4nPrNiYIkAIa8iYcWERvBJoEO0dm7mkaIvs33WH9h+5gNs9fwKn68U99wi0js7UZ+zqA+/\niwWF19CT3k/OFk2F2VwczfCQ3tWJGnljebiSW+XcJz/Hsk1/h3fWmzdpe6fCM6+IbNMkVY7glRNy\n1q24uI/Se7qErN7HVxC4oI7U1jZy3Ukc22HgwX3kBjI4OZv4hib8Z81AK/aR657YlMNJ50CR39CJ\nGd41MON34ueRTXKe5W+YhOGEQfAXv/hFbrjhBpqamjj33HO5//77uemmm9i0aROXXHIJL730Ejfd\nJNw46uvrueyyy7jiiiv41Kc+xTe+8Y1JG1MkpRDFk8QxbTwLitEsLzmyOI6N09aAExcNKM6mB7Hv\n+tK4+3DScZzn70MqqsB+5E4ws2zOVlJbFWLFgrEPekdSiI+3x7fRkdzF7w7cgOM4vNB2O93OAUrU\neWO2GYJW5KPwfYs4s/qLXDrje6iKG0sVga3ZGsPOwiyjkdl6H5I2POPSdQ0ZGzOVwkkM4GSS2E/+\nEqd5D/arT2Hd8w1BH3Bs7EfvRJqzCqN8LkvmlKBrCoUhN4nkNOSDhr4bx+H5V49x8Zm1VJb4ad7Z\nDsWCM+euj6CW+pEdyCayk+xJcJ+dWJae9Y307u0iGnIRCY99WA0rSal3IRfXfIcKn2h6y9lpdMUP\nVkJwnQIXQeEnoOI/hzd0LxFB8GSQA8ODm9UPuW4ktZjVZZ9md999OO9gKsFfK+Iz+1AlUakwrRRW\nwqD33h3kelOoBW629dzD1q6f46otIHhJPVp5AMfITbLX6cPCQJd8yI5GoukYniVlhC6fg6TKeS7y\nmwFhjTz+fd+XaaQ2eM5r2u9QEOydpLv6eEQ89VxS+1260vvY3HkXAF2pvfjUIi6tvY368Ltoib8y\nKrj2acUkc93EpQ4MVxInM4W/n1oo5KXaviw6w4NXQvIFyOyHw+dA82C/RG5QzSP5vPhfen1UAzuT\n4+iu56gzz+b6Ob+julzU+CpmrcazoISCaxdidiRwHAePWkDGinJ/w0dpim4ga8XxFhYJUf/CN9aa\nWJIkdH8A/2nV43KR/4ZTCzngwkoadNy2EbMjQa4/jTXFptzESy3YaZPMfuHMGvvLIfzn1qJGvHgW\nl5JtHsBoi+NdUY5ncQmpLa0kXm5BLfbhqg2jFnvzVsMnQi6aGeW89k7BhE/C7bePr0/3y1/+ctzl\nn/nMZ/jMZz4zjaMXI6d/jKt2Ga45EfQOH5aewb7nG0L6a+ZSwavd/fwJd2E07Wd94WXEk7Us1/YT\ned8t7F7XzIevGp3tGMg2s6/vIchJFHbOoE85jEkKB4um2LMk072sfulDlH58zfgHstPCElCS8WnF\n+LRiOpQdWKqJ/8wa1GIfqe3tvHu2jTSzdszmGjmy93wL1YhyWJvBTv9yrjn6K2KpHJvcq7i8rQF8\nYdDcyAvOIHVoT95qOODTx8iOTQWdvSlyOZvZNWEsy6b3QB+B2uEasSRJ5FwKudjkAXa2O0FUlbBM\ni3BjP4Vrx8sCd5Gxouiyn4innrMqvoSDxYbWfxdBsJ0AZTCDrR+3/VRnfbILGMzypV4RzjEFH6PQ\nLUo4yVz3ibf9G95WiIe6UE0XvU4DF8z4V9Y1/QuWZWDFMpjtccz2BGqRD1V2k7VEFca7pAzjWGxU\nw+rJgoWJrOh4nBCpdDehojohJaRI2CmTXDTzpvAs7XQOaUSDU9Ls5vDA0ywquo5UrmdS7u+J4FZD\nvLf+F9PqOxiCXythZuh8Xmz/IQDbu+9lafEH8WnFlPuWsb//zxS5h3VBfWoRsWwr61r+DxVli9B/\n5qf0c5MQyJRCyO6FwQkSWoV4Tx+9QXSNV9wB8b9AbpCml88Sd+OYFrZhTZt769gOvQ/vpGdBI6vq\nbkKWFBYVXceiouEGZaXAjZ00if7lEOHLxTUG9Sr29T1EnHZcrjDhd89GeRMUGQquW5iXrvsb3ljI\nXi3f8Gt2J4g93oBeV0DhtRNXZhzHIfF8M2ZHAtfMAlwzC0ltb8c1U4zls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7Li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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f04842cc0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = data.rebase().plot(figsize=(12,5))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "Performance Measurement\n",
    "-----------------------\n",
    "\n",
    "For a more complete view of each asset's performance over the period, we can use the :func:`ffn.core.calc_stats` method which will create a :class:`ffn.core.GroupStats` object. A GroupStats object wraps a bunch of :class:`ffn.core.PerformanceStats` objects in a dict with some added convenience methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "perf = data.calc_stats()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our GroupStats object, we can analyze the performance in greater detail. For example, the **plot** method yields a graph similar to the one above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZeSCdo6dzmTamM24WJ3uXU+8U0kREREREpMnYfTCDgydzuGtMJ9xdm19AA4U0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\nyHDVZWVUlXkG3b4aSckWx3mFuJadPoN2MZPOqDS0hjjSGKS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BZCNXlX0Zh2mIOVVnIJru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\nEREREQki/wtUw2QS7CkmAQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0483f07450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also display a wide array of statistics that are all contained in the PerformanceStats object. This will probably look crappy in the docs, but do try it out in a Notebook. We are also actively trying to improve the way we display this wide array of stats."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stat                 agg         hyg         spy         eem         efa         dbc\n",
      "-------------------  ----------  ----------  ----------  ----------  ----------  ----------\n",
      "Start                2010-01-04  2010-01-04  2010-01-04  2010-01-04  2010-01-04  2010-01-04\n",
      "End                  2013-12-31  2013-12-31  2013-12-31  2013-12-31  2013-12-31  2013-12-31\n",
      "\n",
      "Total Return         16.36%      39.23%      76.91%      5.47%       33.44%      1.66%\n",
      "Daily Sharpe         1.11        0.97        0.93        0.18        0.44        0.11\n",
      "CAGR                 3.87%       8.65%       15.37%      1.34%       7.50%       0.41%\n",
      "Max Drawdown         -5.14%      -10.07%     -18.61%     -30.87%     -25.86%     -24.34%\n",
      "\n",
      "MTD                  -0.56%      0.41%       2.59%       -0.41%      2.17%       0.59%\n",
      "3m                   0.02%       3.42%       10.52%      3.47%       6.07%       -0.39%\n",
      "6m                   0.57%       5.85%       16.32%      9.54%       18.11%      2.11%\n",
      "YTD                  -1.97%      5.76%       32.30%      -3.65%      21.44%      -7.63%\n",
      "1Y                   -1.97%      5.76%       32.30%      -3.65%      21.44%      -7.63%\n",
      "3Y (ann.)            3.08%       7.83%       16.07%      -2.34%      8.17%       -2.34%\n",
      "5Y (ann.)            3.87%       8.65%       15.37%      1.34%       7.50%       0.41%\n",
      "10Y (ann.)           3.87%       8.65%       15.37%      1.34%       7.50%       0.41%\n",
      "Since Incep. (ann.)  3.87%       8.65%       15.37%      1.34%       7.50%       0.41%\n",
      "\n",
      "Daily Sharpe         1.11        0.97        0.93        0.18        0.44        0.11\n",
      "Daily Mean (ann.)    3.86%       8.70%       15.73%      4.35%       9.73%       1.83%\n",
      "Daily Vol (ann.)     3.47%       8.98%       16.83%      24.56%      22.32%      16.84%\n",
      "Daily Skew           -0.40       -0.55       -0.39       -0.12       -0.26       -0.47\n",
      "Daily Kurt           2.28        7.52        4.02        3.06        3.64        2.90\n",
      "Best Day             0.84%       3.06%       4.65%       7.20%       6.75%       4.34%\n",
      "Worst Day            -1.24%      -4.27%      -6.51%      -8.34%      -7.46%      -6.70%\n",
      "\n",
      "Monthly Sharpe       1.23        1.11        1.22        0.30        0.60        0.27\n",
      "Monthly Mean (ann.)  3.59%       9.51%       16.99%      6.43%       11.06%      4.61%\n",
      "Monthly Vol (ann.)   2.93%       8.56%       13.92%      21.45%      18.41%      17.10%\n",
      "Monthly Skew         -0.34       0.14        -0.32       -0.10       -0.37       -0.74\n",
      "Monthly Kurt         0.02        1.74        0.24        1.28        0.17        1.16\n",
      "Best Month           1.77%       8.49%       10.92%      16.27%      11.63%      9.89%\n",
      "Worst Month          -2.00%      -5.30%      -7.94%      -17.89%     -11.19%     -14.62%\n",
      "\n",
      "Yearly Sharpe        0.65        2.79        1.10        -0.06       0.50        -0.40\n",
      "Yearly Mean          3.16%       7.85%       16.73%      -1.13%      9.32%       -2.24%\n",
      "Yearly Vol           4.86%       2.81%       15.22%      19.06%      18.72%      5.57%\n",
      "Yearly Skew          -0.54       1.50        0.22        0.58        -1.69       0.27\n",
      "Yearly Kurt          -           -           -           -           -           -\n",
      "Best Year            7.70%       11.05%      32.30%      19.06%      21.44%      3.50%\n",
      "Worst Year           -1.97%      5.76%       1.90%       -18.80%     -12.23%     -7.63%\n",
      "\n",
      "Avg. Drawdown        -0.48%      -1.18%      -1.79%      -5.16%      -4.96%      -5.09%\n",
      "Avg. Drawdown Days   17.16       15.69       17.55       78.22       60.04       107.85\n",
      "Avg. Up Month        0.83%       1.86%       3.58%       5.87%       4.37%       4.28%\n",
      "Avg. Down Month      -0.49%      -2.31%      -3.21%      -3.41%      -4.15%      -3.35%\n",
      "Win Year %           66.67%      100.00%     100.00%     33.33%      66.67%      33.33%\n",
      "Win 12m %            81.08%      97.30%      94.59%      59.46%      70.27%      45.95%\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print perf.display()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lots to look at here. We can also access the underlying PerformanceStats for each series, either by index or name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Year    Jan    Feb    Mar    Apr    May    Jun    Jul    Aug    Sep    Oct    Nov    Dec    YTD\n",
      "------  -----  -----  -----  -----  -----  -----  -----  -----  -----  -----  -----  -----  -----\n",
      "  2010  -5.24   3.12   6.08   1.55  -7.94  -5.18   6.83  -4.5    8.96   3.82   0      6.68  13.14\n",
      "  2011   2.33   3.47   0.01   2.9   -1.12  -1.69  -2     -5.5   -6.94  10.92  -0.41   1.05   1.9\n",
      "  2012   4.64   4.34   3.22  -0.67  -6      4.06   1.18   2.51   2.54  -1.82   0.56   0.9   15.99\n",
      "  2013   5.12   1.27   3.8    1.92   2.36  -1.34   5.17  -3      3.17   4.63   2.97   2.59  32.3\n"
     ]
    }
   ],
   "source": [
    "# we can also use perf[2] in this case\n",
    "perf['spy'].display_monthly_returns()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3bvxKxSGherT7ABWFhvlmYI+Z7oNlhk+W++ZDsoVHfDImPXwAgJrqDHzh4eHH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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0483efefd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf[2].plot_histogram()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of the stats are also available as pandas objects - see the **stats, return_table, lookback_returns** attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "start                    2010-01-04 00:00:00\n",
       "end                      2013-12-31 00:00:00\n",
       "total_return                       0.7691415\n",
       "daily_sharpe                       0.9343834\n",
       "cagr                               0.1537473\n",
       "max_drawdown                      -0.1860885\n",
       "mtd                               0.02589976\n",
       "three_month                        0.1052059\n",
       "six_month                          0.1631602\n",
       "ytd                                0.3230191\n",
       "three_year                         0.1606551\n",
       "daily_mean                          0.157277\n",
       "daily_vol                          0.1683217\n",
       "daily_skew                        -0.3877139\n",
       "daily_kurt                          4.021851\n",
       "best_day                          0.04646752\n",
       "worst_day                        -0.06507669\n",
       "monthly_sharpe                      1.220851\n",
       "monthly_mean                       0.1699025\n",
       "monthly_vol                        0.1391673\n",
       "monthly_skew                      -0.3188291\n",
       "monthly_kurt                       0.2366642\n",
       "best_month                          0.109239\n",
       "worst_month                      -0.07943796\n",
       "yearly_sharpe                       1.099516\n",
       "yearly_mean                        0.1673016\n",
       "yearly_vol                         0.1521593\n",
       "yearly_skew                        0.2179042\n",
       "yearly_kurt                              NaN\n",
       "worst_year                         0.0189695\n",
       "avg_drawdown                     -0.01785071\n",
       "avg_drawdown_days                   17.55072\n",
       "avg_up_month                      0.03583112\n",
       "avg_down_month                   -0.03207629\n",
       "win_year_perc                              1\n",
       "twelve_month_win_perc              0.9459459\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf['spy'].stats"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "Numerical Routines and Financial Functions\n",
    "------------------------------------------\n",
    "\n",
    "ffn also provides commonly used numerical routines and plans to add many more in the future. One can easily determine the proper weights using a mean-variance approach using the :func:`ffn.core.calc_mean_var_weights` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "agg    79.57%\n",
       "dbc     0.00%\n",
       "eem     0.00%\n",
       "efa     0.00%\n",
       "hyg     6.39%\n",
       "spy    14.03%\n",
       "dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns.calc_mean_var_weights().as_format('.2%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some other interesting functions are the clustering routines, such as a Python implementation of David Varadi's Fast Threshold Clustering Algorithm (FTCA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: ['eem', 'spy', 'efa'], 2: ['agg'], 3: ['dbc'], 4: ['hyg']}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns.calc_ftca(threshold=0.8)"
   ]
  }
 ],
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